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- Tasks: Manage critical data systems and optimise high-performance analytics.
- Company: Leading AI software company in Greater London with a focus on innovation.
- Benefits: Supportive benefits for well-being, professional development, and a modern work environment.
- Other info: Exciting opportunities for career growth in a collaborative setting.
- Why this job: Join a dynamic team and work with cutting-edge technologies in cloud computing.
- Qualifications: Experience with Kubernetes and a strong grasp of distributed computing required.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI software company in Greater London is seeking a Cloud Platform Engineer to manage critical data systems for high-performance analytics.
Responsibilities include:
- Optimizing ClickHouse clusters
- Maintaining distributed systems such as Kafka and OpenSearch
Candidates should have proven experience with Kubernetes and a strong understanding of distributed computing.
The role also offers opportunities for professional development and a modern work environment, with benefits aimed at supporting employee well-being.
Cloud Platform Engineer: Scale Data & Distributed Systems in London employer: Intapp, Inc.
Contact Detail:
Intapp, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Platform Engineer: Scale Data & Distributed Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Kubernetes, ClickHouse, or distributed systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of distributed computing and the tools mentioned in the job description. Practice coding challenges and system design questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Cloud Platform Engineer: Scale Data & Distributed Systems in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes and distributed systems like Kafka and OpenSearch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about cloud platforms and how your background makes you a perfect fit for our team. Let us know what excites you about working with data systems.
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled challenges in optimizing data systems or managing clusters. We love seeing candidates who can think critically and adapt to new situations!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Intapp, Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of ClickHouse, Kafka, and OpenSearch. Be ready to discuss how you've optimised these systems in the past and any challenges you've faced. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Kubernetes Skills
Since Kubernetes is a key part of the role, prepare to talk about your experience managing containerised applications. Think of specific examples where you've deployed or scaled applications using Kubernetes, and be ready to explain your thought process.
✨Understand Distributed Computing Concepts
Brush up on distributed computing principles, as this will likely come up in your interview. Be prepared to explain concepts like data consistency, fault tolerance, and scalability, and how they relate to the systems you'll be working with.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's approach to cloud infrastructure and how they support professional development. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.